For any company to sustain itself in this era, getting vital data about its customers and other stakeholders through text analysis is a must.
When there is no dearth of structured and unstructured data about an organization, these are of no use unless you can analyze them to get insights for decision-making.
This is where text analysis and mining tools come into play. Text analysis software can locate patterns and trends from raw text data and provide you with statistical patterns.
Before going into details about the text analysis tools, let's understand the text analysis technology and its uses.
What Is Text Analysis and Mining?
Text analysis refers to the process of gathering meaningful insights from raw text data. It means extracting the user sentiment and precious data from customer opinions and feedback to make informed decisions.
Text analysis is an umbrella term used to mean actions including text extraction, identification, categorization, parsing, entity-relationship modeling, and clustering.
Though data analysis and data mining come from different streams of studies, nowadays, these terms are used interchangeably since both refer to garnering data using various statistical approaches.
Text analysis offers qualitative insights on customer feedback by identifying sentiment in any free-form text. On the other hand, you will see the uses of Machine Learning and NLP technology in text mining to gather information out of structured data.
Use Cases of Text Analysis and Mining Software
You will find the usage of text analysis tools in the following cases:
1. Quickly Interpreting Large Documents
These tools are usually used to interpret unstructured data from documents such as emails, chats, social feeds, messages, and reviews. While manual analysis can take months to go through a large volume of documents, text analysis software can do it in an hour.
2. Real-Time Customer Review Monitor
Customer comments and reviews may pop up anywhere on the internet. The text analysis software can monitor the feedback 24/7 and take necessary action against the negative reviews and posts.
3. Understanding Employee Feedback
Businesses also use text mining tools to improve the organizational strategy by checking the employee feedback and understanding their grievance.
Take a look at the list of best text analysis tools:
Amazon Comprehend is a text analysis tool that can derive valuable insights from documents through mining and analysis. It uses Machine Learning technology to uncover valuable information and connections in text.
Some of the top attributes of this platform are language detection, keyword extraction, sentiment analysis, topic modeling, and syntax analysis. You can use it to analyze documents, product reviews, customer support tickets, emails, and social platforms.
Using this platform will make document processing workflows simple. It strongly regulates the access to your documents through Personally Identifiable Information.
Running this tool is super-easy—even without any previous experience, you can start using it in a few minutes. Organizations that use different AWS services can seamlessly integrate this tool into their workflow.
For any customer-oriented company, analyzing customer feedback and support data is crucial. Thematic is a text analysis software that facilitates a central and collaborative space for connecting and understanding customer feedback.
It lets you check the feedback value and gain precious insights almost real-time. By using the text processing AI of this tool, fast-growing companies can locate recurring themes and subjects in the customer feedback data.
Thematic uses cutting-edge sentiment analysis technology to convert unstructured customer feedback into valuable insights.
Apart from these, the software also analyzes the impact of the data on your metrics and presents the analysis report through easy infographics.
It supports one-click integration with popular customer surveys and support applications like SurveyMonkey, Discourse, Zendesk, Trustpilot, and Medallia to collect data from online reviews, support chat, and surveys.
This tool uses Google machine learning technology to derive insights from raw text. Organizations can use it for content classification, sentiment analysis, entity extraction, and syntax analysis.
You can find and label fields in documents such as chats, emails, and social media posts with this software through entity analysis. It also lets you understand customer opinions via sentiment analysis.
Besides insight extraction, the app also offers features like analyzing and storing text. It can also locate domain-specific entities within documents using custom entity extraction.
Chattermill is a text analysis tool that uses artificial intelligence to ensure your company's growth and customer loyalty. It collects data from various feedback and customer interaction sources into one easy-to-use collaborative platform.
To ensure that, Chattermill supports integration with Trustpilot, Typeform, Google Play, App Store, SurveyMonkey, Slack, Ask Nicely, Survey Gizmo, Reviews.io, Zendesk, and many more apps.
It uses theme and sentiment AI to understand the customer sentiment about your product and brand while finding the reason behind recurring topics. After signal analysis, it can perfectly identify and predict ways to drive revenue and retain customers coming from every touchpoint.
Businesses can use this tool to process content in all major languages, including English, French, Spanish, German, Russian, Arabic, and Mandarin.
Voyant Tools is primarily popular among the researchers of the humanities stream. However, you can also use it as a website text analysis tool. This platform has an easy interface and performs different analytic tasks.
You may utilize its features to visualize the data coming out of website analysis. But, it is not possible to use it for in-depth text analysis.
Do you want to use any highly-customizable SaaS text analysis software that you can integrate easily with your existing tools? If yes, MonkeyLearn should be your go-to platform for quantitative content analysis.
It is a robust text mining software that can analyze any type of unstructured text data, including text documents, online reviews, survey responses, customer feedback, and social media conversations.
Thanks to the sophisticated Machine Learning algorithms and natural language processing (NLP), this platform will offer you accurate text analysis.
If you use MonkeyLearn for text mining, you can integrate it with apps like Google Sheets, Microsoft Excel, Zendesk, Google Forms, Airtable, HelpScout, and Zapier.
This web-based software comes with useful attributes such as sentiment analysis, keyword extraction, NPS feedback analysis, and classification of email responses.
When it comes to choosing a customer experience tool to analyze unstructured data from numerous sources, Keatext is the tool for you. If you are part of a nonprofit organization or university, it even offers a free version to you.
Whether you have social media conversations, emails, or surveys to analyze, this cloud-based text analysis software can do it effectively using Machine learning and Artificial Intelligence.
Now, you can get rid of the tedious task of manually analyzing data and let Keatext tell you where you put your attention if you want to enhance your customer experience.
Besides the features mentioned above, this tool also lets you collect feedback in multiple languages and visualize data in different ways.
Are you looking for any text analysis software that can process a large amount of unstructured information with great precision? Use WordStat, a text analysis tool that is simple and flexible.
It can process 25 million words/ minute to extract themes and identify patterns. It mines the documents to quickly extract themes and trends and performs quantitative content analysis with precision.
Moreover, you can use this to analyze open-ended responses, generate business intelligence data, examine news coverage and detect fraud.
It is also compatible with different other tools. When you use these together through integration, you enjoy top-notch flexibility in terms of analyzing text and relating it to numerical and categorical data.
If you think data means only numbers and figures, RapidMiner is here to prove you wrong. It is an advanced text mining tool with which you can perform model deployment and operations. It uses artificial intelligence to perform text analysis and text analytics to collect insights that will benefit your business.
These insights you will get from the qualitative and textual content will help you improve in various sectors, including product development, marketing, and risk management.
Some of the enriches sources of raw text are online reviews, patent filings, research journals, social media, call center transcriptions, and claims forms.
RapidMiner informs you of the customers' attitude towards your products and services, so your business can move forward to achieve the organizational mission.
Text analysis tools can assist you in analyzing text data from emails, social platforms, online reviews, and large-sized online documents. Businesses can also use these apps to get an accurate idea about the public sentient and perception of their brand or product.
Since the insights gathered from text mining software are essential to make better business decisions, more and more organizations are getting interested in it.
Whether you want to extract keywords, analyze sentiment, or perform entity extraction, you will find various text analyzing tools in the market for these tasks.
In this article, we have discussed some of the best text analysis tools of the text analysis and mining software industry. You can choose one or more from the list depending on your requirement.
If you want to build your own text analysis software, you might want to try any of these low-code or no-code platforms.
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